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Yilmazel-Sahin, Yesim – Technology, Pedagogy and Education, 2009
This study explored the perceptions of 304 teacher education students regarding how effectively and meaningfully their instructors use the "Microsoft PowerPoint" presentation software program in their teaching and compared graduate and undergraduate students' perceptions to determine the extent to which graduate and undergraduate teacher educators…
Descriptors: Undergraduate Students, Graduate Students, Student Attitudes, Interviews
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Wheeler, Patricia H. – 1995
When individuals are given tests that are too hard or too easy, the resulting scores are likely to be poor estimates of their performance. To get valid and accurate test scores that provide meaningful results, one should use functional-level testing (FLT). FLT is the practice of administering to an individual a version of a test with a difficulty…
Descriptors: Adaptive Testing, Difficulty Level, Educational Assessment, Performance
Kim, Seock-Ho – 1997
Hierarchical Bayes procedures for the two-parameter logistic item response model were compared for estimating item parameters. Simulated data sets were analyzed using two different Bayes estimation procedures, the two-stage hierarchical Bayes estimation (HB2) and the marginal Bayesian with known hyperparameters (MB), and marginal maximum…
Descriptors: Bayesian Statistics, Difficulty Level, Estimation (Mathematics), Item Bias
Ingebo, George S. – 1993
Item response theory (IRT) is based on the assumption that a direct relationship exists between an examinee's total performance on a set of items and the difficulty of each item on the test. The Rasch model represents this relationship mathematically on an equal interval scale. This paper argues that IRT, under the required conditions, provides…
Descriptors: Achievement Tests, Difficulty Level, Item Banks, Item Response Theory
Linacre, John Michael – 1991
A rating scale can be expressed as a chain of dichotomous items. The relationship between the dichotomies depends on the manner in which the rating scale is presented to the test taker. Three models for ordered scales are discussed. In the success model, which represents growth, the lowest or easiest category is presented first. If the test taker…
Descriptors: Difficulty Level, Equations (Mathematics), Mathematical Models, Rating Scales
Kulick, Edward – 1983
This paper presents a promising new item bias detection technique that derives practical appeal from its simplicity and economy, and provides data relating to the method's consistency across samples. The proposed regression on item characteristics (RIC) method is a straightforward and inexpensive approach to the study of item bias, based on…
Descriptors: Correlation, Cost Effectiveness, Data Analysis, Difficulty Level
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Hurst, Robert N. – American Biology Teacher, 1975
Descriptors: Biology, College Science, Course Descriptions, Difficulty Level
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Livingston, Samuel A.; Dorans, Neil J. – ETS Research Report Series, 2004
This paper describes an approach to item analysis that is based on the estimation of a set of response curves for each item. The response curves show, at a glance, the difficulty and the discriminating power of the item and the popularity of each distractor, at any level of the criterion variable (e.g., total score). The curves are estimated by…
Descriptors: Item Analysis, Computation, Difficulty Level, Test Items
Berger, Martijn P. F. – 1989
The problem of obtaining designs that result in the most precise parameter estimates is encountered in at least two situations where item response theory (IRT) models are used. In so-called two-stage testing procedures, certain designs that match difficulty levels of the test items with the ability of the examinees may be located. Such designs…
Descriptors: Difficulty Level, Efficiency, Equations (Mathematics), Heuristics
DeMauro, Gerald E. – 1990
Recent comparisons (R. Freedle and I. Kostin, 1988) of differential item difficulty (DIF) have found that items that are in some way easier differentially give advantage to white examinees. In this study, the male/female ratio was manipulated among college students taking a social sciences examination to determine the effect of the male/female…
Descriptors: College Students, Difficulty Level, Higher Education, Item Bias
Kalyan-Masih, V.; Marshall, W. – 1986
This report discusses the construct and criterion-related validity of the Nebraska Wisconsin Cognitive Assessment Battery (NEWCAB), on the basis of pooled regional data collected in Iowa, Kansas, Nebraska, and Wisconsin on a 3-year longitudinal sample of 107 6-year-old, 141 7-year-old, and 160 8-year-old children. Designed to assess the cognitive…
Descriptors: Cognitive Development, Construct Validity, Difficulty Level, Elementary School Students
Holland, Paul W.; Thayer, Dorothy T. – 1985
An alternative definition has been developed of the delta scale of item difficulty used at Educational Testing Service. The traditional delta scale uses an inverse normal transformation based on normal ogive models developed years ago. However, no use is made of this fact in typical uses of item deltas. It is simply one way to make the probability…
Descriptors: Difficulty Level, Error Patterns, Estimation (Mathematics), Item Analysis
Joiner, Elizabeth G. – 1984
There is growing evidence that the best way to prepare students to cope with authentic oral and written texts they will encounter in actual situations is to introduce such texts into the classroom as early as possible. The selection of texts appropriate for beginning students involves examination of the texts themselves and consideration of the…
Descriptors: Class Activities, Difficulty Level, Instructional Materials, Listening Comprehension
Linacre, John Michael – 1988
Computer-adaptive testing (CAT) allows improved security, greater scoring accuracy, shorter testing periods, quicker availability of results, and reduced guessing and other undesirable test behavior. Simple approaches can be applied by the classroom teacher, or other content specialist, who possesses simple computer equipment and elementary…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Cutting Scores
Halford, Graeme S.; Leitch, Elizabeth – 1988
Three studies were conducted to investigate reasons for the difficulties that children under 5 years of age experience with class inclusion tasks. The studies tested the claim that such tasks have a structural complexity that is beyond the children's processing ability. In experiment 1, class inclusion tasks were compared with other classification…
Descriptors: Age Differences, Classification, Cognitive Ability, Difficulty Level
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